Evidence map›Paper›PMID 42428553›Full record

ArticleImaging neuroscience (Cambridge, Mass.)

Multi-shot diffusion tensor imaging in the lumbosacral spinal cord: Characterizing heterogeneity in healthy tissue and differences in multiple sclerosis.

Alicia E Cronin, Xinyu Zhang, Anna Combes, Simon Vandekar, Gabriella L Dunay, Lipika Narisetti, Grace Sweeney, Logan Prock, Delaney Houston, Aimee Salakhov and 7 more

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Alicia E CroninVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.ORCID https://orcid.org/0000-0002-8058-0126
Xinyu ZhangDepartment of Biostatistics, Vanderbilt University, Nashville, TN, United States.
Anna CombesVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.
Simon VandekarDepartment of Biostatistics, Vanderbilt University, Nashville, TN, United States.
Gabriella L DunayVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.
Lipika NarisettiVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.
Grace SweeneyVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.
Logan ProckVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.
Delaney HoustonVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.
Aimee SalakhovVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.
Kurt G SchillingVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.
Seth StubblefieldDepartment of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States.
Colin D McKnightDepartment of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States.
Francesca BagnatoNeuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, United States.
Subramaniam SriramNeuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, United States.
Seth A SmithVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.
Kristin P O'GradyVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.ORCID https://orcid.org/0000-0002-4550-2026

Funding

Evaluating Advanced Diffusion of the Human Spinal Cord: Application to MSR01NS117816 · NINDS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SMITH, SETH A · 2021 to 2025
$1.8M
Structural and Functional MRI of the Cervical Spinal Cord in Multiple SclerosisR01NS109114 · NINDS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SMITH, SETH A · 2018 to 2022
$1.7M
Multimodal, quantitative MRI in the lumbosacral spinal cord in progressive multiple sclerosisR01NS136316 · NINDS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Kristin Poole O'Grady · 2024 to 2026
$1.4M
Microstructure and connectivity modeling from the cortex to the spinal cord in Multiple SclerosisK01EB032898 · NIBIB · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SCHILLING, KURT G · 2022 to 2025
$630k
Development of Advanced MRI for the Thoracolumbar Spinal Cord for Clinical ApplicationK01EB030039 · NIBIB · VANDERBILT UNIVERSITY MEDICAL CENTER · PI O'GRADY, KRISTIN POOLE · 2020 to 2023
$622k
Development of clinically translatable MRI methodologies for the thoracic spinal cordR03TR004434 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI O'GRADY, KRISTIN POOLE · 2023 to 2023
$175k
NCATS NIH HHS R03 TR004434NIBIB NIH HHS K01 EB030039NIBIB NIH HHS K01 EB032898NINDS NIH HHS R01 NS109114NINDS NIH HHS R01 NS117816NINDS NIH HHS R01 NS136316
6 · The paper itself

Abstract

The clinical presentation of lower extremity and autonomic dysfunction of persons with multiple sclerosis (pwMS) does not consistently correlate with central nervous system pathology noted on conventional magnetic resonance imaging (MRI). Diffusion tensor imaging (DTI) could provide more information about tissue microstructure and insight into pathophysiology but is understudied in relevant anatomies such as the lumbosacral spinal cord (LSC). We sought to explore how DTI measures change across LSC spinal levels and white matter (WM) columns in 29 persons with mild relapsing-remitting MS (pwRRMS) (Expanded Disability Status Scale Median [Min, Max] = 1 [0, 3.5]) and 27 age- and sex-matched healthy controls (HCs) at 3T and evaluate associations between DTI measures and clinical measures of disability. In HCs, differences across spinal levels and between WM columns were found in all DTI measures. However, there were no significant differences when comparing HC and normal-appearing tissue in pwRRMS. In pwRRMS, increased dorsal WM fractional anisotropy (FA) was associated with worse mobility and sensation. We observed heterogeneity in DTI measures throughout the LSC, emphasizing the importance of region-based analysis for future studies. In the LSC, higher FA may not reflect increased microstructural integrity, but expansion to MS populations with greater disability needs to be explored.

Indexed as

diffusion tensor imagingmagnetic resonance imagingmultiple sclerosisspinal cord

Identifiers

PMID42428553
PMCPMC13347604

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.